Data is everywhere and growing at a rapid rate. Most Software application we interact with daily deals with stored data . From our interaction with our banks to social media.
Due to the relevance and dependency on data , professionals that are skilled in SQL are always in high demand to help interact with various databases to help business intelligence and other sectors that relies on data.
This course will teach you from absolute beginner to expert so you can be confident with enough skills to build simple to complex queries to communicate and interact with databases.
SQL -Structured Query Language is an internationally recognised language used to communicate and manipulate various database systems.T-SQL - Transact SQL is Microsoft's implementation of SQL. There are a lot of similarities between them but also proprietary parts that are specific to SQL Server.
We will be using Microsoft's version of SQL ( T-SQL ) popularly referred to as T-Sequel with Microsoft SQL Server .
SQL Server is a relational database management system -RDBMS developed and owned by Microsoft.Thousands of companies all over the world use SQL Server for their data solution .
What You Will Learn include:
How to extract data from multiple Database Tables using Joins
How to insert new data into database with SQL
How to update existing data inside a database
How to delete data from a database
How to filter data
How to sort data
How to create and query views
How to build a stored procedure
How to use Aggregate functions to summarize returned data
How to group data
SQL can be used for Data Analysis to transform data already present in the database to valuable useful information that help companies and organisations make key business and management decisions.
This course is a beginners guide to performing data analysis using SQL to interrogate SQL Server to provide answers to data related questions. You will learn to write useful SQL queries that is applicable to the Real World production environment.
Everywhere data is being collected, every transaction, every web page visit,every payment—all these and much, much more are filling relational databases with raw data that can be analysed to provide useful information.
There is a demand for people who can use data to perform reporting and analysis thus helping businesses and organizations make important and critical decisions.